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A non-dominated sorting hybrid algorithm for multi-objective optimization of engineering problems
2011
Engineering optimization (Print)
Among numerous multi-objective optimization algorithms, the Elitist non-dominated sorting genetic algorithm (NSGA-II) is one of the most popular methods due to its simplicity, effectiveness and minimum involvement of the user. This article develops a multi-objective variation of the Nelder-Mead simplex method and combines it with NSGA-II in order to improve the quality and spread of the solutions. The proposed hybrid algorithm, called non-dominated sorting hybrid algorithm (NSHA), is compared
doi:10.1080/03052151003739598
fatcat:qv6k6rqozredpjh2iz4jxjwqxi